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Strong employer brand, metro location, and 3-5 year mid-level band increase applicant competition.
Skillset transferable across industries but marketing analytics domain expertise needed, so moderate sensitivity.
Explicit years, required marketing-modeling expertise and specific tech stack make shortlisting highly strict.
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Develop and implement statistical models for marketing impact evaluation, including multi-touch attribution and marketing mix modeling.
Lead complex data science projects and contribute to the architecture and development of applications using frameworks such as Shiny, Flask, or React.
Collaborate with project teams and senior leadership to communicate insights and support data-driven marketing strategies.
3-5 years of experience, including graduate or postgraduate research in data science or related field.
Proficiency in R and Python for data manipulation, visualization, and statistical model development.
Experience with multi-touch attribution and marketing mix modeling from model development to optimization.
Bachelor's or Master's degree in Mathematics, Economics, Computer Science, or equivalent.
Experience working within advanced analytics teams focusing on marketing analytics solutions.
Ability to design and develop data science web applications utilizing frameworks like Shiny, Streamlit, or React.
Comfortable leading projects, collaborating with senior data scientists, and effectively presenting insights to senior leadership.